Trust Model Development for Cloud Environment using Fuzzy Mamdani and Simulators

Mousa, Hamdy M.; Elhady, Gamal F.

doi:10.24297/ijct.v13i11.2784

Cited by 3 publications

(1 citation statement)

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“…Mousa et al [33] used a trust model based on the fuzzy logic system to evaluate trust values. ey proposed a new method for this purpose, which gives cloud users the ability to assess the reliability of cloud service providers.…”

Section: Related Workmentioning

confidence: 99%

Fuzzy Rule-Based Trust Management Model for the Security of Cloud Computing

Soleymani

Abapour

Taghizadeh

et al. 2021

Mathematical Problems in Engineering

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In the last few years, due to the benefit of solving large-scale computational problems, researchers have been developed multicloud infrastructures. The trust-related issue in multiclouds includes more complicated content and new problems. A new trust management framework for multicloud environments is proposed in this article. The proposed framework used a combination of objective and subjective trust values to calculate the cloud service provider’s trust values. This new framework can identify and rectify fake feedbacks from other feedbacks. Another advantage of this framework is applying fuzzy rules to calculate trust values. Two main components of the proposed framework are simulated in this paper. The simulation results confirm the important role of applied components. Also, this paper proposed a framework compared with other frameworks (feedback-based model, SLA-based model, and multicloud model). Simulation results show the proposed framework increased trust values rather than other models. Also, compared with other models, our framework gives better mean trust values.

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Section: Related Workmentioning

confidence: 99%